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Maelstrom

Maelstrom: A Python package for identifying companions to pulsating stars from their light travel time variations - Published in JOSS (2020)

https://github.com/danhey/maelstrom

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 4 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: arxiv.org, zenodo.org
  • ✓
    Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

asteroseismology astronomy astrophysics bayesian-inference binaries mcmc pymc3
Last synced: 6 months ago · JSON representation

Repository

Forward modelling of pulsating stars in binaries

Basic Info
Statistics
  • Stars: 7
  • Watchers: 3
  • Forks: 1
  • Open Issues: 1
  • Releases: 2
Topics
asteroseismology astronomy astrophysics bayesian-inference binaries mcmc pymc3
Created almost 7 years ago · Last pushed over 5 years ago
Metadata Files
Readme Changelog Contributing License

README.md

Maelstrom


DOI

maelstrom is a set of custom PyMC3 Models and solvers for modelling binary orbits through the phase modulation technique. Unlike previous codes, maelstrom fits each individual datapoint in the time series by forward modelling the time delay onto the light curve. This approach fully captures variations in a light curve caused by an orbital companion.

To install the current version

bash pip install maelstrom

To install the developer version

bash git clone https://github.com/danhey/maelstrom.git cd maelstrom pip install -e .

To get started

python from maelstrom import Maelstrom ms = Maelstrom(time, flux) ms.optimize()

Read the docs here

Owner

  • Name: Daniel
  • Login: danhey
  • Kind: user
  • Location: Hawai'i
  • Company: University of Hawai'i

Mostly harmless

JOSS Publication

Maelstrom: A Python package for identifying companions to pulsating stars from their light travel time variations
Published
July 10, 2020
DOI
Volume 5, Issue 51, Page 2125
Authors
Daniel R. Hey ORCID
School of Physics, Sydney Institute for Astronomy (SIfA), The University of Sydney, NSW 2006, Australia, Stellar Astrophysics Centre, Department of Physics and Astronomy, Aarhus University, DK-8000 Aarhus C, Denmark
Simon J. Murphy ORCID
School of Physics, Sydney Institute for Astronomy (SIfA), The University of Sydney, NSW 2006, Australia, Stellar Astrophysics Centre, Department of Physics and Astronomy, Aarhus University, DK-8000 Aarhus C, Denmark
Daniel Foreman-Mackey ORCID
Center for Computational Astrophysics, Flatiron Institute, 162 5th Ave, New York, NY 10010, USA
Timothy R. Bedding ORCID
School of Physics, Sydney Institute for Astronomy (SIfA), The University of Sydney, NSW 2006, Australia, Stellar Astrophysics Centre, Department of Physics and Astronomy, Aarhus University, DK-8000 Aarhus C, Denmark
Benjamin J.s. Pope ORCID
Center for Cosmology and Particle Physics, Department of PhysicsNew York University, 726 Broadway, New York, NY 10003, USA, Center for Data Science, New York University, 60 Fifth Ave, New York, NY 10011, USA
David W. Hogg ORCID
Center for Cosmology and Particle Physics, Department of PhysicsNew York University, 726 Broadway, New York, NY 10003, USA, Center for Computational Astrophysics, Flatiron Institute, 162 5th Ave, New York, NY 10010, USA, Center for Data Science, New York University, 60 Fifth Ave, New York, NY 10011, USA, Max-Planck-Institut für Astronomie, Königstuhl 17, D-69117 Heidelberg
Editor
Monica Bobra ORCID
Tags
astronomy variable stars
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GitHub Events

Total
Last Year

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 136
  • Total Committers: 4
  • Avg Commits per committer: 34.0
  • Development Distribution Score (DDS): 0.029
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Unknown d****y@o****m 132
Dan Foreman-Mackey d****n@d****a 2
Daniel 3****y 1
Daniel Hey d****y@v****u 1
Committer Domains (Top 20 + Academic)
vlan1366-a28-10-66-101-45.research.sydney.edu.au: 1 danfm.ca: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 3
  • Total pull requests: 0
  • Average time to close issues: 3 days
  • Average time to close pull requests: N/A
  • Total issue authors: 3
  • Total pull request authors: 0
  • Average comments per issue: 0.67
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • jpdeleon (1)
  • nezyd (1)
  • hpparvi (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 32 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 1
  • Total maintainers: 1
pypi.org: maelstrom

A package to model the orbits of pulsating stars in binaries

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 32 Last month
Rankings
Dependent packages count: 10.1%
Stargazers count: 20.3%
Dependent repos count: 21.6%
Forks count: 22.6%
Average: 28.9%
Downloads: 69.8%
Maintainers (1)
danhey
Last synced: 6 months ago

Dependencies

requirements.txt pypi
  • astropy >=1.3
  • exoplanet *
  • matplotlib >=1.5.3
  • numpy >=1.13.0
  • pymc3 >=3.5
  • seaborn *
  • theano >=1.0.0
  • tqdm *